Dades Obertes Catalunya MCP Server for CrewAIGive CrewAI instant access to 2 tools to Query Dataset and Search Catalog

Name: Dades Obertes Catalunya
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to Dades Obertes Catalunya through Vinkius, pass the Edge URL in the `mcps` parameter and every Dades Obertes Catalunya tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Dades Obertes Catalunya MCP Server for CrewAI is a standout in the Data Analytics category — giving your AI agent 2 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Dades Obertes Catalunya Specialist",
    goal="Help users interact with Dades Obertes Catalunya effectively",
    backstory=(
        "You are an expert at leveraging Dades Obertes Catalunya tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Dades Obertes Catalunya "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 2 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About Dades Obertes Catalunya MCP Server

Unlock the power of Dades Obertes Catalunya, the official open data platform of the Government of Catalonia. This MCP server allows your AI agent to browse thousands of public datasets and perform complex queries through natural conversation.

When paired with CrewAI, Dades Obertes Catalunya becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Dades Obertes Catalunya tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Catalog Discovery — Search for datasets by keywords, categories, or tags to find relevant public information using the search_catalog tool.
Advanced Querying — Use SoQL (Socrata Query Language) via query_dataset to filter, select specific columns, and sort data from any dataset using its 4x4 identifier.
Data Analysis — Group results and perform full-text searches across entire datasets to extract insights on health, transport, economy, and more.
Pagination & Limits — Efficiently handle large datasets with built-in support for limits and offsets to browse records systematically.

The Dades Obertes Catalunya MCP Server exposes 2 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 2 Dades Obertes Catalunya tools available for CrewAI

When CrewAI connects to Dades Obertes Catalunya through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, public-sector, dataset-discovery, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

query

Query dataset on Dades Obertes Catalunya

g., abcd-1234). Supports SoQL parameters like $select, $where, $limit. Query a specific dataset using SoQL parameters

Search catalog on Dades Obertes Catalunya

Returns dataset identifiers needed for the query_dataset tool. Search the Dades Obertes Catalunya catalog for datasets

Connect Dades Obertes Catalunya to CrewAI via MCP

Follow these steps to wire Dades Obertes Catalunya into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 2 tools from Dades Obertes Catalunya

Why Use CrewAI with the Dades Obertes Catalunya MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Dades Obertes Catalunya through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Dades Obertes Catalunya + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Dades Obertes Catalunya MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Dades Obertes Catalunya for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Dades Obertes Catalunya, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Dades Obertes Catalunya tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Dades Obertes Catalunya against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Dades Obertes Catalunya in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Dades Obertes Catalunya immediately.

"Search the catalog for datasets related to 'hospitals' in Catalonia."

"Query dataset 'abcd-1234' and show me the top 5 results where population is over 10000."

"List the columns available in dataset 'xyz1-2345' using a full-text search for 'electric'."

Troubleshooting Dades Obertes Catalunya MCP Server with CrewAI

Common issues when connecting Dades Obertes Catalunya to CrewAI through Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Dades Obertes Catalunya + CrewAI FAQ

Common questions about integrating Dades Obertes Catalunya MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.